Search Results
tTmuQFT Seminar: Markus Heyl "Quantum many-body dynamics in 2D with artificial neural networks"
Machine Learning for Quantum Simulation - Markus Heyl (June 30, 2020)
Alessandro Roggero | Dynamical phase transitions in collective neutrino oscillations
Project 14. Tackling Quantum Many-Body Systems with Artificial Neural Networks
QSI Seminar: Dr Markus Heyl, Max Planck Inst., Reinforcement Learning for Digital Quantum Simulation
Han Pu: "Solving Quantum Many-Body Problems with Deep Neural Networks"
Markus Planck
Mikhail Lukin - Probing Quantum Dynamics Quantum Many-Body Systems I
Synthetic models for quantum many-body physics out of equilibrium - L. Piroli - SIFS Young Seminar
Markus Planck
Introduction to local holography - Laurent Freidel
Matthew Pusey: A structure theorem for all noncontextual ontological models of an operational theory
